Triple
T4977735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Heard You Paint Houses |
E111808
|
entity |
| Predicate | expandedEditionIncludes |
P60752
|
FINISHED |
| Object | afterword on The Irishman film |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: afterword on The Irishman film | Statement: [I Heard You Paint Houses, expandedEditionIncludes, afterword on The Irishman film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedEditionIncludes Context triple: [I Heard You Paint Houses, expandedEditionIncludes, afterword on The Irishman film]
-
A.
expandedEditionYear
Indicates the year in which a work’s expanded or enlarged edition was published or released.
-
B.
extendedEditionRuntimeMinutes
Indicates the duration, measured in minutes, of the extended edition version of a work.
-
C.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
D.
specialEdition
Indicates that an item is a distinct, limited, or enhanced version of a standard release, often with unique features, packaging, or content.
-
E.
extendedIn
Indicates that one entity continues, prolongs, or expands the scope, duration, or range of another entity.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd441adc208190b70a033a0741d01e |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd7146e6e881908a55ab2756b631f6 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd73089f548190834103366e24ab40 |
completed | March 20, 2026, 4:17 p.m. |
Created at: March 20, 2026, 1:33 p.m.